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CAMCA'S Xiang Li Received MGH Thrall Innovation Grants Award

February 4, 2022
CAMCA Researcher Xiang Li received the 2021 MGH Thrall Innovation Grants Award. The award will fund Dr. Li's research of lung cancer screening by transformed chest X-ray imaging, entitled "Chest Radiographs-based Lung Cancer Screening by the DeepProjection Technique". The work aims to develop a safer and faster lung cancer screening solution based on the DeepProjection technique previously developed by Dr. Li, which is an AI-driven model that can generate near-real volumetric 3D CT image from a single 2D Chest Radiograph (CXR) image. By replacing CT scans with CXR-generated pseudo-CTs for... Read more about CAMCA'S Xiang Li Received MGH Thrall Innovation Grants Award

CAMCA'S Kuang Gong Wins Young Investigator Award

October 22, 2021
CAMCA Reseacher Kuang Gong received 2021 The Bruce Hasegawa Young Investigator Medical Imaging Science Award from The Institute of Electrical and Electronics Engineers' Nuclear & Plasma Sciences Society (IEEE NPSS). Dr. Gong was given this prestigious award in recongnition of his contributions to machine learning-based PET image reconstruction, image denoising and attenuation correction, as well as advanced PET point-spread-function modeling and novel PET system design. 

Call for Paper: Special Issue on IEEE Transactions on Medical Imaging, “Federated Learning for Medical Imaging”

October 4, 2021

Conventional wisdom for machine learning and especially deep learning in medical imaging says that larger and more diverse data is needed to train better AI models. However, one particularity in the medical imaging setting is that data sharing across different institutions is often complicated by strict privacy regulations and data-ownership concerns, making the collection of large-scale, diverse centralized datasets practically impossible. Therefore, methods for training on large, distributed datasets without sharing data and breaching restrictions on privacy and property, like...

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CAMCA's "Multimodal Learning and Fusion Across Scales for Clinical Decision Support" (ML-CDS 2021) was successfully held as a MICCAI satellite event

October 1, 2021

CAMCA's "Multimodal Learning and Fusion Across Scales for Clinical Decision Support" was successfully held as a MICCAI satellite event this year, hosted at the MICCAI official virtual platform. We received 16 submissions with 10 papers accepted for oral presentation in the workshop, and more than 80 participants registered for the workshop. We had the honor of having Professor Heike Daldrup-Link from Stanford University present the keynote talk, entitled “AI in Pediatric Oncology Imaging”.

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Call for Paper: Special Issue on Frontiers in Neuroscience, “Multi-Dimensional Characterization of Neuropsychiatric Disorders”

September 27, 2021

The human nervous system itself and its extensive connection with the human body are complex. There are various representations of nervous system with diverse observation methods and multiple dimensions of metrics. Similarly, in the field of medicine, almost all clinical diagnostic protocols for neuropsychiatric diseases/disorders involve multiple dimensions of individual characteristics. With the recent development of technology, scientists have been able to develop a more comprehensive understanding of neuropsychiatric disorders from multiple scales and dimensions. For instance, high...

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Our Group Won Second Place in ISBI's 2020 Best Paper Award!

April 7, 2020

 

April 7th, 2020

The IEEE International Symposium on Biomedical Imaging (ISBI) is a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation. It fosters knowledge transfer among different imaging communities and contributes to an integrative approach to biomedical imaging. ISBI is a joint initiative from the IEEE Signal Processing Society (SPS) and the IEEE Engineering in Medicine and Biology Society (EMBS...

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Our group advanced on to the Nvidia Global Impact Award finalists

February 26, 2018

 

After fierce competition, our group has been selected as one of the prestigious Nvidia Global Impact award finalists (4 finalists in total). The NVIDIA Global Impact Award provides $200,000 for groundbreaking work that addresses the world's most important social and humanitarian problems. The 2018 awards will go to researchers or institutions using NVIDIA technology to achieve breakthrough results with broad impact. This includes – but is not limited to – the areas of disease research, drug design & development, medical imaging, energy & fuel efficiency, weather...

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